AI-powered retail media optimization platform for CPG brands, automating budget allocation across major ad networks with predictive analytics and real-time competitor intelligence.
AdIntelli Retail emerges as a specialized AI solution addressing the $130B retail media market, offering CPG manufacturers an intelligent layer to optimize advertising across Amazon Ads, Walmart Connect, and Instacart. By combining predictive sales modeling with real-time competitive intelligence, the platform promises 15-30% ROAS improvement through automated budget allocation and creative optimization.
Core Functionality
Automated budget distribution across 3+ retail networks using proprietary predictive sales algorithms. Real-time competitor bid analysis tracks 50+ market signals. Creative scoring system evaluates 15 performance dimensions. Two-way ERP integration enables closed-loop spend optimization.
Target User and Segment
Focuses on CPG enterprises spending €500k+/month across retail media. Primary personas:
- Retail Media Managers (day-to-day users)
- Performance Marketing Directors (strategic planners)
- CFO Office (ROAS oversight)
Recommended Tech Stack
- AI Core: TensorFlow models on AWS SageMaker
- Data Pipeline: Snowflake + Kafka real-time streams
- Frontend: React dashboard with D3.js visualizations
- Integrations: Prebuilt connectors for SAP, Shopify
Estimated MVP Costs
1,400 development hours (€140k) + €25k data licensing = €165k total. 6-month build timeline covering:
- Core algorithm development (800h)
- 3 platform integrations (300h)
- Reporting dashboard (300h)
SWOT Analysis
- Strengths: First-mover advantage in manufacturer-focused analytics
- Weaknesses: API dependency on retail platforms
- Opportunities: 40% CAGR in retail media spend
- Threats: Martech giants adding similar features
First 1000 Customers Strategy
Three-pronged approach:
- LinkedIn ABM campaigns (€75k budget, targeting 250 leads)
- Co-marketing with commerce platforms (50+ MQLs/month)
- Trade show activations (€50k for 3 events)
Target CAC: €1,500 with 9-month payback period.
Monetization Model
Tiered SaaS pricing:
- Starter: €2k/mo (basic analytics)
- Pro: €5k/mo (+ automation)
- Enterprise: €15k/mo (custom models)
Requires 90 Enterprise clients to break even at 70% margins. Initial team: 6 FTEs (sales + engineering).
Market Positioning
€8.2B TAM capturing 2% of media spend. Differentiates from Pacvue/Skai through manufacturer-first analytics. Initial focus on DACH region (€2.1B market) before US expansion. Strategic advantage: Deep ERP integrations for closed-loop attribution.
